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Semiconductor Yield Jobs in Oregon (NOW HIRING)

Semiconductor companies rely upon FormFactor's products and services to accelerate profitability by optimizing device performance and advancing yield knowledge. The company serves customers through ...

... yield learning, and failure analysis of semiconductor processes and manufacturing. Our broad range of high-performance microscopy workflows provides critical data at the micro-, nano-, and picometer ...

Yield TEM Support Technician Pay Rate: $23/hr Hours: Thur-Saturday alt Wednesday 8 AM - 8:30 PM ... Semiconductor basic knowledge. * Plus: Metrology data processing and statistical analysis * Plus:

Collaborate closely with Yield Engineering, Process Integration, Manufacturing, and Technology Development teams to solve complex semiconductor challenges. * Establish best practices for AI model ...

Integration Engineer

Beaverton, OR · On-site

$75K - $103K/yr

Leading teams of process module engineers to resolve yield and parametric problems * Optimization of semiconductor manufacturing processes to improve productivity and/or quality * Interpretation of ...

Integration Engineer

Beaverton, OR · On-site

$75K - $103K/yr

Leading teams of process module engineers to resolve yield and parametric problems * Optimization of semiconductor manufacturing processes to improve productivity and/or quality * Interpretation of ...

Experience in semiconductor manufacturing, process development, yield engineering, or product development * Outstanding skills in optical systems, opt-mechanics, electrical engineering or mechanical ...

Experience in semiconductor manufacturing, process development, yield engineering, or product development * Outstanding skills in optical systems, opt-mechanics, electrical engineering or mechanical ...

Showing results 41-60

Semiconductor Yield information

See Oregon salary details

$15

$24

$33

How much do semiconductor yield jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for semiconductor yield in Oregon is $24.50, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $28.22 per hour, depending on experience, location, and employer.

What is the difference between Semiconductor Yield vs Semiconductor Process Engineer?

AspectSemiconductor YieldSemiconductor Process Engineer
Primary FocusMeasuring and improving the percentage of functional chips producedDesigning, developing, and optimizing manufacturing processes
Skills & CertificationsStatistical analysis, quality control, certifications in manufacturing or quality assuranceProcess engineering, chemical or electrical engineering degrees, process control certifications
Work EnvironmentQuality control labs, manufacturing floors, data analysis settingsProcess development labs, cleanrooms, manufacturing facilities
Industry UsageUsed to assess production efficiency and yield ratesUsed to improve manufacturing processes and reduce defects

Semiconductor Yield focuses on measuring and improving the percentage of functional chips produced, emphasizing quality and efficiency metrics. Semiconductor Process Engineers design and optimize manufacturing processes to enhance production quality and reduce defects. While both roles are integral to semiconductor manufacturing, Yield specialists analyze output quality, whereas Process Engineers develop the methods to achieve that quality.

What are common challenges faced by professionals working in semiconductor yield analysis, and how can they be addressed?

Professionals in semiconductor yield analysis often encounter challenges such as identifying the root causes of yield loss, managing large volumes of process data, and collaborating across multiple departments to implement corrective actions. Yield engineers must be adept at data analysis and problem-solving, as well as effective communicators to bridge the gap between manufacturing, process engineering, and design teams. Regular cross-functional meetings and the use of advanced data analytics tools are essential strategies for addressing these challenges and driving continuous yield improvement.

What is semiconductor yield?

Semiconductor yield refers to the percentage of functional, defect-free semiconductor devices produced from a manufacturing batch relative to the total number produced. High yield is crucial in the semiconductor industry because it directly impacts production costs and profitability. Factors affecting yield include manufacturing process quality, defect density, and design complexity. Improving yield typically involves process optimization, defect detection, and continuous monitoring during fabrication.

What are the key skills and qualifications needed to thrive as a semiconductor yield engineer, and why are they important?

To thrive as a Semiconductor Yield Engineer, you need a strong background in electrical engineering, materials science, or a related field, with solid analytical and problem-solving skills. Familiarity with statistical analysis software, yield management systems, and data visualization tools is typically required. Attention to detail, effective communication, and collaboration are important soft skills for identifying issues and working with cross-functional teams. These skills ensure efficient process optimization, higher manufacturing yields, and the overall profitability of semiconductor production.
What job categories do people searching Semiconductor Yield jobs in Oregon look for? The top searched job categories for Semiconductor Yield jobs in Oregon are:
Infographic showing various Semiconductor Yield job openings in Oregon as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $50,964 per year, or $24.5 per hour.

Systems Software Engineer - New College Grad 2026

Nvidia

Hillsboro, OR

$188K - $223K/yr

Full-time

Re-posted 27 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

The Advanced Technology Group is looking for a highly motivated Systems Software Engineer - New College Grad to join our group. Do you have a proven software development background inadvancedcomputational methods foradvancedsemiconductormanufacturingand design? Are you seen as a technical leader and an industry expert in several of the underlying fields, such as massively distributed computing, computational geometry, diffractive optics, and artificial intelligence? If yes, then we'd love to hear from you! The job requires creating strategy, driving industry-leading innovation, and working in lean teams to realize these strategies, from invention to production.

This role will be located in Hillsboro, Oregon.

What you'll bedoing:

  • Working with some of the best technologists in the world to build industry-leadingadvancedcomputational methods foradvancedsemiconductormanufacturingand design.

  • Exploiting the potential of the GPU to dramatically accelerate these software solutions.

  • Ultimately, keeping the cadence of semiconductor innovation alive by accelerating semiconductor yield and time to market.


What we need to see:

  • Pursuing or recently completed a MS or PhD in Computer Science or Computer Engineering (or equivalent experience).

  • Experience in developing and delivering complex software solutions for enabling or improving semiconductor fabricationand design.

  • Research and/or industry experience working on advanced computational and AI systems

  • Exposure to ML/AI techniques and deep learning fundamentals, including various network architectures and advanced concepts like model optimization, backpropagation, and mitigating challenges like vanishing gradients and model overfitting.

  • Demonstrated abilityin low-level performance optimization, including algorithm development, memory management, cache compression, and work-load balancing for scalable, distributed systems.

  • Ability to quickly ramp up on parallel programming models like CUDA, to accelerate computational methods.

  • Ability to solve complex algorithmic challengesand technical questions with minimal guidance, reflecting a strong foundation in algorithms, data structures, and computational theory

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993